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Found 4 papers, 1 papers with code
Tuning Vision-Language Models with Candidate Labels by Prompt Alignment
In order to improve its robustness, we propose a simple yet effective framework that better leverages the prior knowledge of VLMs to guide the learning process with candidate labels.
Atrial Septal Defect Detection in Children Based on Ultrasound Video Using Multiple Instances Learning
In addition, data from 30 children patients (15 positives and 15 negatives) are collected for clinician testing and compared to our model test results (these 30 samples do not participate in model training).
Rack-Aware Regenerating Codes with Fewer Helper Racks
Previous work mostly focuses on minimizing the cross-rack repair bandwidth under the condition \(\bar{d}\geq \bar{k}\), where \(\bar{k}=\lfloor\frac{k}{u}\rfloor\).
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Bounds and Constructions for Linear Locally Repairable Codes over Binary Fields
For binary $[n, k, d]$ linear locally repairable codes (LRCs), two new upper bounds on $k$ are derived.
Information Theory Information Theory
